Friday, March 12, 2010

Introducing the PyPy 1.2 release

We are pleased to announce PyPy's 1.2 release.
This version 1.2 is a major milestone and it is the first release to ship
a Just-in-Time compiler that is known to be faster than CPython
(and unladen swallow) on some real-world applications (or the best benchmarks
we could get for them). The main theme for the 1.2 release is speed.

The JIT is stable and we don't observe crashes. Nevertheless we would
recommend you to treat it as beta software and as a way to try out the JIT
to see how it works for you.

Highlights:

The JIT compiler.

Various interpreter optimizations that improve performance as well as help
save memory. Read our variousblogposts about achievements.

Introducing speed.pypy.org made by Miquel Torres, a new service that monitors our performance
nightly.

There will be ubuntu packages on PyPy's PPA made by Bartosz Skowron,
however various troubles prevented us from having them as of now.

Known JIT problems (or why you should consider this beta software) are:

The only supported platform is 32bit x86 for now, we're looking for help with
other platforms.

It is still memory-hungry. There is no limit on the amount of RAM that
the assembler can consume; it is thus possible (although unlikely) that
the assembler ends up using unreasonable amounts of memory.

If you want to try PyPy, go to the download page on our excellent new site
and find the binary for your platform. If the binary does not work (e.g. on
Linux, because of different versions of external .so dependencies), or if
your platform is not supported, you can try building from the source.

We are pleased to announce PyPy's 1.2 release.
This version 1.2 is a major milestone and it is the first release to ship
a Just-in-Time compiler that is known to be faster than CPython
(and unladen swallow) on some real-world applications (or the best benchmarks
we could get for them). The main theme for the 1.2 release is speed.

The JIT is stable and we don't observe crashes. Nevertheless we would
recommend you to treat it as beta software and as a way to try out the JIT
to see how it works for you.

Highlights:

The JIT compiler.

Various interpreter optimizations that improve performance as well as help
save memory. Read our variousblogposts about achievements.

Introducing speed.pypy.org made by Miquel Torres, a new service that monitors our performance
nightly.

There will be ubuntu packages on PyPy's PPA made by Bartosz Skowron,
however various troubles prevented us from having them as of now.

Known JIT problems (or why you should consider this beta software) are:

The only supported platform is 32bit x86 for now, we're looking for help with
other platforms.

It is still memory-hungry. There is no limit on the amount of RAM that
the assembler can consume; it is thus possible (although unlikely) that
the assembler ends up using unreasonable amounts of memory.

If you want to try PyPy, go to the download page on our excellent new site
and find the binary for your platform. If the binary does not work (e.g. on
Linux, because of different versions of external .so dependencies), or if
your platform is not supported, you can try building from the source.